New Chinese Chess Computer Vision Project

Kurnia Harryadha

Updated 3 years ago

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Classes (15)
Black-Cannon
Black-Chariot
Black-Elephant
Black-General
Black-Guard
Black-Horse
Black-Soldier
None
Red-Cannon
Red-Chariot
Red-Elephant
Red-General
Red-Guard
Red-Horse
Red-Soldier
Description

Here are a few use cases for this project:

  1. Chinese Chess Game Analysis: The model can be used to analyze games of Chinese Chess, tracking the moves and strategies of each player. It can identify the pieces and their position to provide real-time analysis, predictions and suggest optimal moves.

  2. Chess Tutoring and Learning Tools: The model can be integrated into a learning software or app that provides interactive Chinese Chess lessons for beginners or advanced players. It can assist in understanding the different pieces, their movements, and how to strategize using them.

  3. Virtual Chinese Chess Competitions: The model can be used to digitize physical Chinese Chess games, enabling virtual tournaments where material chess sets can be used. It can interpret the board state from images or video, and relay the information to an online platform for remote opponents or audience.

  4. Smart Chinese Chessboard: The model can be employed in the development of a smart Chinese Chessboard, which records and analyses each game, providing players with insights about their performance, strategies and potential improvements.

  5. Accessibility Applications: The model can be used to create an application to help visually impaired individuals play Chinese Chess. Through recognizing the pieces and their positions on the board, the application could provide audio feedback about the state of the game, enabling the visually impaired to participate.

Supervision

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Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            new-chinese-chess_dataset,
                            title = { New Chinese Chess Dataset },
                            type = { Open Source Dataset },
                            author = { Kurnia Harryadha },
                            howpublished = { \url{ https://universe.roboflow.com/kurnia-harryadha/new-chinese-chess } },
                            url = { https://universe.roboflow.com/kurnia-harryadha/new-chinese-chess },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { feb },
                            note = { visited on 2024-11-23 },
                            }
                        
                    

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